Affective Computing: Enabling Technologies and Applications

Affective Computing: Enabling Technologies and Applications

Machines Emote through Human Mind Like Interfaces

RELEASE DATE
20-Sep-2015
REGION
Global
Research Code: D694-01-00-00-00
SKU: AE00204-GL-TR_00204
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Description

Affective Computing refers to the latest futuristic advancements in which machines are trained to emote like the human mind, which includes recognizing patterns and making affective inferences about the surrounding environment. Innovation trends and applications are evolving in this space to make an effective contribution to growing segments such as artificial intelligence (AI), Internet of Things (IoT), social computing, voice recognition, speech and text analyses, and image recognition. The objective of this research service is to offer a detailed account of affective computing technology segments, technology innovations, and application innovations across sectors.

Table of Contents

Research Outline

Key Findings

Research Methodology

Introduction to Affective Computing and its Applications

Why is Affective Computing Important?

Affective Computing Technology Parameters Transforming Key Application Sectors

Affective Computing Technology Parameters Transforming Key Application Sectors (continued)

Emotional Speech Empowers Machines to Understand Human Emotions

Muscle Movements Enable Soundless Emotional Detection

Body Gesture-Based Emotional Recognition Increases Efficiency of Emotional Intelligence Systems

Physiology-Based Emotion Recognition Systems Improve Accuracy

Visual Aesthetics Based Emotional Recognition

Deep Learning Helps in Creation of Emotional Machines

Emotional Intelligence Impacts Healthcare Industry by Enabling Advanced Child Care

Emotional Intelligence Enables Sentiment Analysis in Social Media

Affective Computing Enables User Friendly Banking Models

Affective Computing Enables Voice Interfaces with Emotions for Retail

Affective Computing Enables Intelligent Robots in Defense and Heavy Machinery Industry

Convergence of Affective Computing with Augmented Reality Enhances Contextual Augments

Convergence of Affective Computing with Cloud Computing Helps to Reduce Platform Dependency

Convergence of Affective Computing with Big Data Enhances Data Availability

Convergence of Affective Computing with IoT Enhances Customer Centric Product Development

Key Futuristic Applications

Key Contacts

Key Contacts (continued)

Legal Disclaimer

The Frost & Sullivan Story

Value Proposition: Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Our Blue Ocean Strategy

Related Research
Affective Computing refers to the latest futuristic advancements in which machines are trained to emote like the human mind, which includes recognizing patterns and making affective inferences about the surrounding environment. Innovation trends and applications are evolving in this space to make an effective contribution to growing segments such as artificial intelligence (AI), Internet of Things (IoT), social computing, voice recognition, speech and text analyses, and image recognition. The objective of this research service is to offer a detailed account of affective computing technology segments, technology innovations, and application innovations across sectors.
More Information
No Index No
Podcast No
Author Sathya Vendhan
Industries Aerospace, Defence and Security
WIP Number D694-01-00-00-00
Is Prebook No